Profile
Shakebuddin Mohammed

Shakebuddin Mohammed

Software Engineer | Developer

Toronto, ON

6+

Projects

1+

Experience

25+

Skills

Software developer with over a year of experience in designing, building, and optimizing scalable web applications. Skilled in delivering high-quality, maintainable code within Agile environments and a strong foundation in cloud infrastructure and distributed systems. Passionate about solving complex problems and contributing to innovative software solutions, currently pursuing a Master’s in Information Systems at Northeastern University, set to graduate in May 2025.

Education

Northeastern University

Master of Science in Information Systems

Northeastern University

Toronto, ON

Expected May 2025
GPA: 3.68
Osmania University

Bachelor of Engineering in Information Technology

Osmania University

Hyderabad, IN

Aug 2022
GPA: 3.2

Experience

Innovacx Tech Labs

Software Development Engineer

Innovacx Tech Labs

Aug 2022 – Aug 2023

  • Developed and optimized full-stack applications with React, TypeScript, and Node.js within an Agile framework.
  • Improved page load speed by 30% through code optimization and caching strategies.
  • Implemented server-side rendering (SSR), resulting in a 25% increase in user engagement metrics.
  • Automated CI/CD pipelines with GitHub Actions, reducing deployment time by 50%
ReactTypeScriptNode.jsAgileSSRCI/CD
Freshprints LLC

Full Stack Web Development Intern

Freshprints LLC

Jan 2022 – Mar 2022

  • Built internal dashboard tools with React and TypeScript, enhancing operational efficiency for 45,000+ users.
  • Improved database query performance by 35% by optimizing SQL queries and data access patterns.
  • Developed and optimized backend Node.js APIs.
  • Conducted thorough unit and end-to-end testing, reducing post-release bugs by 20%.
ReactTypeScriptNode.jsSQLTesting

Projects

PinchSpot - AI-Powered Recommendation System

Created a distributed AI-powered recommendation system using YOLOv11 and AWS(Sagemaker). Implemented real-time image classification using realtime inference endpoints, ensuring efficient and scalable processing. Integrated RESTful APIs to fetch and display visually relevant content from Pinterest, enhancing content discovery for users.

AIAWSYOLOv11REST APISagemaker
RefuLink Canada – iOS App for Refugees

RefuLink Canada – iOS App for Refugees

Developed a native iOS app using Swift, integrating Firebase Authentication and Realtime Database to provide secure access to government resources for refugees. Implemented REST API integrations to ensure real-time updates on refugee assistance programs.

iOSSwiftFirebaseREST API

Portfolio Website

Designed and developed a responsive portfolio website using Next.js, React, and Tailwind CSS. Implemented a Pinterest-inspired masonry grid layout for showcasing projects and experience.

ReactTailwind CSSResponsive DesignJavaScript

Customer 360

Customer 360 is a cutting-edge standalone application developed using Oracle Visual Builder Cloud Service. Designed to revolutionize the guest experience, this application provides a holistic view of guest profiles by seamlessly integrating with Oracle Fusion Cloud and a Loyalty system.

Key Features:

  • Comprehensive Guest Information: Customer 360 consolidates data from Oracle Fusion Cloud and the Loyalty system to present a detailed overview of guest profiles. This includes essential details such as guest information, membership details, stay history, dining history, vouchers, and more.
  • Advanced Search Functionality: The application features a powerful search engine that allows users to search for guests using any combination of attributes, including email, mobile, name, or membership number. This ensures quick and accurate retrieval of information.
  • Real-time Data Integration: By integrating with Oracle Fusion Cloud and the Loyalty system, Customer 360 ensures that all data is up-to-date, enabling users to make informed decisions based on the latest information.
  • Streamlined Enrollment Process: The application offers a user-friendly interface for guest enrollment in membership programs, simplifying the process and empowering guests to join loyalty programs and access exclusive benefits.

Impact:

Customer 360 enhances the efficiency and accuracy of guest information retrieval, providing a seamless user experience. By offering real-time data and comprehensive profiles, it enables businesses to deliver personalized and informed services to their guests.

Oracle Visual Builder Cloud ServiceOracle Fusion CloudLoyalty System Integration

Sarcasm Detection on Twitter Data

This project involves developing an ensemble model to detect sarcasm in tweets. The model is trained on a static dataset of 57,000 tweets labeled as sarcastic and non-sarcastic. By employing K-fold cross-validation, the ensemble model enhances accuracy and is further tested on dynamic data extracted from Twitter using the Twitter API.

Key Features:

  • Ensemble Model: Utilizes an ensemble approach to improve detection accuracy, outperforming single classifier models.
  • K-fold Cross-Validation: Ensures robust model performance by validating on multiple subsets of the data.
  • Dynamic Data Testing: Re-tests the model on real-time tweets to validate its effectiveness in a live environment.
  • High Accuracy: Achieves an accuracy of 82.2%, significantly higher than the 75% accuracy of single classifier models.
PythonMachine LearningNatural Language processingTwitter API

Leave Management System (LMS)

The Leave Management System (LMS) is a custom-built application designed for the IT Department of a college, catering to 100 daily active members. This system streamlines the process of managing leave requests and approvals, enhancing efficiency and transparency.

Key Features:

  • User-Friendly Interface: Provides an intuitive interface for users to submit and track leave requests.
  • Efficient Leave Management: Facilitates easy approval and management of leave requests by administrators.
  • Real-Time Notifications: Keeps users informed about the status of their leave requests through real-time notifications.
PythonMachine LearningNatural Language processingTwitter API

Skills

Programming Languages
J
JavaScript
T
TypeScript
P
Python
J
Java
Frameworks & Libraries
P
PyTorch
P
Pandas
N
NumPy
R
React.js
N
Node.js
E
Express.js
A
Angular
Databases
P
PostgreSQL
M
MongoDB
M
MySQL
Cloud & DevOps
A
AWS (Lambda, S3, EC2)
A
Azure
D
Docker
K
Kubernetes
Tools & Technologies
G
Git
J
Jira
A
Agile
U
Unit Testing
L
Linux
H
HTML
C
CSS
G
GraphQL
R
REST APIs

Co-Curricular Activities

Youth in Data Delegate

Youth in Data Delegate

In 2019, I had the incredible honor of being selected as a Youth in Data delegate at the prestigious Big Data in Agriculture Convention in Hyderabad, India. This event, hosted by the ICRISAT, was a groundbreaking gathering focused on the theme 'TRUST: Humans, Machines & Ecosystems'. As a delegate, I actively participated in high-impact workshops, conducted insightful interviews with leading industry experts, and delved into cutting-edge topics such as digital agriculture, smart monitoring, and disease detection. This transformative experience not only honed my skills in digital media and agricultural development but also positioned me at the forefront of innovation in the field.

Contact

Contact Me

Let's connect and discuss new opportunities!

mohammed.shak@northeastern.edu